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Most studies consider functional connectivity networks as stationary phenomena.
While most studies consider the career of contribution following the first contribution, we focus on what happened before and during the first contribution.
First, we categorize how driving forces have been addressed and find that most studies consider medium-term time scales and local spatial scales.
In general, most studies consider the reactive power of filters at a fundamental frequency to be equal to a previously determined magnitude, and the optimization is devoted to calculate the other parameters of the filters that are required to minimize the distortion indices of the network.
Most studies consider replication of the whole relation or its horizontal part.
Most studies consider simplified models for the operation of the filter bank and do not attain optimality [12, 13].
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However, most studies considered different components of urban wastewater infrastructure in isolation.
However, most studies considering the deteriorated and learning effect ignore the fact that production efficiency can be increased by grouping various parts and products with similar designs and/or production processes.
However, most studies considering the learning effect ignore the fact that production efficiency can be increased by grouping various parts and products with similar designs and/or production processes.
While most studies considering speech during physical tasks use aerobic exercises as stimuli, Orliko [17] measured speech production characteristics before and during a weightlifting task.
The low level of proof of most studies considered, the diversity of definitions of early or late initiation, the heterogeneity of the study populations, unequal quality of available data, observed bias, including a strongly suspected publication bias, and the small number of patients in these studies mean that definitive conclusions cannot be drawn.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com